Direct Detection of Type II-P Supernova Progenitors with the Euclid and CSST Surveys
Junjie Wu, Ning-Chen Sun, Zexi Niu, Tianmang Zhang, Chun Chen, Xiaohan Chen, Nancy Elias-Rosa, Morgan Fraser, Xinyi Hong, Justyn Maund, Cesar Rojas-Bravo, Anyu Wang, Beichuan Wang, Ziyang Wang, Qiang Xi, Linxi Zhang, Yinuo Zhang

TL;DR
Euclid and CSST surveys will greatly enhance the detection and characterization of supernova progenitors, especially red supergiants, by providing deep, high-resolution, multi-band imaging, enabling more accurate mass and dust property measurements.
Contribution
This study demonstrates the detection capabilities of Euclid and CSST for supernova progenitors and proposes methods to recover their intrinsic properties despite circumstellar dust effects.
Findings
Detection rate of progenitors will increase by an order of magnitude.
Optical and near-infrared filters are highly effective for detecting RSG progenitors.
Simultaneous fitting of SEDs can recover progenitor mass and dust optical depth.
Abstract
A central goal in supernova (SN) research is to identify and characterize their progenitors. However, this is very difficult due to the limited archival images with sufficient depth and spatial resolution required for direct progenitor detection and due to the circumstellar dust which often biases the estimate of their intrinsic parameters. This field will be revolutionized by Euclid and the upcoming Chinese Space Station Survey Telescope (CSST), which conduct deep, wide-field, high-resolution and multi-band imaging surveys. We analyze their detection capability by comparing the model magnitudes of red supergiant (RSG) progenitors with the detection limits under different conditions, and we estimate the annual detection rates with Monte-Carlo simulations. We explore how to recover the intrinsic properties of SN progenitors with the help of radiation transfer calculations in…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
